scholarly journals Research on the Influencing Factors of Urban Economic Vitality in the Yangtze River Economic Zone Based on Factor Analysis

2021 ◽  
Vol 09 (07) ◽  
pp. 516-528
Author(s):  
Hongming Wang ◽  
Ziqi Dai
Author(s):  
Linlin Ye ◽  
Xiaodong Wu ◽  
Dandan Huang

As the world’s largest developing country in the world, China consumes a large amount of fossil fuels and this leads to a significant increase in industrial energy-related CO2 emissions (IECEs). The Yangtze River Economic Zone (YREZ), accounting for 21.4% of the total area of China, generates more than 40% of the total national gross domestic product and is an important component of the IECEs from China. However, little is known about the changes in the IECEs and their influencing factors in this area during the past decade. In this study, IECEs were calculated and their influencing factors were delineated based on an extended logarithmic mean Divisia index (LMDI) model by introducing technological factors in the YREZ during 2008–2016. The following conclusions could be drawn from the results. (1) Jiangsu and Hubei were the leading and the second largest IECEs emitters, respectively. The contribution of the cumulative increment of IECEs was the strongest in Jiangsu, followed by Anhui, Jiangxi and Hunan. (2) On the whole, both the energy intensity and R&D efficiency play a dominant role in suppressing IECEs; the economic output and investment intensity exert the most prominent effect on promoting IECEs, while there were great differences among the major driving factors in sub-regions. Energy structure, industrial structure and R&D intensity play less important roles in the IECEs, especially in the central and western regions. (3) The year of 2012 was an important turning point when nearly half of these provinces showed a change in the increment of IECEs from positive to negative values, which was jointly caused by weakening economic activity and reinforced inhibitory of energy intensity and R&D intensity.


2020 ◽  
Vol 143 ◽  
pp. 02026
Author(s):  
Jiwen Chen ◽  
Zuxu Zou

With the continuous acceleration of the modernization process, the Eco-environmental problems of the Yangtze River Economic Zone in China have become increasingly prominent, which makes the study of carbon emission efficiency become a long-term concern. Based on the panel data of 11 provinces and cities of the Yangtze River Economic Zone in 2009~2016, this paper calculates the DEA-Malmquist index of the Total Factor Carbon Emission Efficiency containing undesirable output in various provinces and cities and three major regions. By studying the DEA-Malmquist index and its decomposition, the results show that the Total Factor Carbon Emission Efficiency of various regions in the Yangtze River Economic Zone presents a growth trend, and its main contribution comes from technological progress. In the future, the emission reduction rules of the Yangtze River Economic Zone will be transformed from the traditional top-down emission reduction model to the bottom-up “independent contribution” emission reduction model.


2017 ◽  
Vol 9 (12) ◽  
pp. 2278 ◽  
Author(s):  
Dan He ◽  
Peng Gao ◽  
Zhijing Sun ◽  
Yui-yip Lau

2021 ◽  
Vol 8 ◽  
Author(s):  
Gen Li ◽  
Ying Zhou ◽  
Fan Liu ◽  
Tao Wang

To explore the evolution mechanism of manufacturing green development efficiency is of great significance to realize green transformation of manufacturing industry in the Yangtze River Economic Belt. This paper fully considers the resource inputs and undesirable outputs in the production process and applies WSR methodology to construct the index system of influencing factors. Based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 1998 to 2017, the super-SBM model is used to calculate the manufacturing green development efficiency. Then, the regional differences of manufacturing green development efficiency in the Yangtze River Economic Belt are deeply analyzed. Finally, Tobit model is applied to analyze the influencing factors of the manufacturing green development efficiency. And it turns out, during the statistics period, manufacturing green development efficiency in the Yangtze River Economic Belt is “U” shaped distribution, the mean value of each province over the years is 0.812, which is at the medium development level; the manufacturing green development efficiency in the Yangtze River Economic Belt is on the rise, and the low scale efficiency is the main reason that restricts the manufacturing green development efficiency in the Yangtze River Economic Belt. All the influencing factors have different effects on the manufacturing green development efficiency in different regions. Therefore, this paper puts forward corresponding policy suggestions from the three dimensions of Wuli, Shili and Renli.


Sign in / Sign up

Export Citation Format

Share Document